ProgressiveAvatars：渐进式可动画三维高斯化身
ProgressiveAvatars: Progressive Animatable 3D Gaussian Avatars
把 3D 高斯挂在模板网格的面局部坐标上，并用屏幕空间误差驱动隐式细分，得到可按带宽增量加载、逐级渲染的可动画化身；这套「层次化高斯 + 面局部参数化」思路可直接迁移到任意可形变物体的流式传输与 LOD 渲染。
原文依据 a hierarchy of 3D Gaussians grown by adaptive implicit subdivision on a template mesh
摘要译文
由模型翻译 · 术语统一 · 请对照原文核对关键结论在实际的实时 XR 与远程呈现应用中，网络与计算资源频繁波动。因此，需要一种渐进式三维表示。为此，我们提出 ProgressiveAvatars，一种基于三维高斯层次结构的渐进式化身表示，该层次结构通过在模板网格上进行自适应隐式细分而生长。三维高斯定义在面局部坐标中，从而在多个细节层次下随表情与头部运动变化仍保持可动画性。当屏幕空间信号表明细节不足时，该层次结构会扩展，将资源分配到重要区域。借助重要性排序，ProgressiveAvatars 支持增量加载与渲染，在新高斯到达时将其加入并保留先前内容，从而在不同带宽下实现平滑的质量提升。ProgressiveAvatars 能够在波动的网络带宽以及变化的计算与内存资源下实现渐进式传输与渐进式渲染。
英文原文摘要 989 字符
In practical real-time XR and telepresence applications, network and computing resources fluctuate frequently. Therefore, a progressive 3D representation is needed. To this end, we propose ProgressiveAvatars, a progressive avatar representation built on a hierarchy of 3D Gaussians grown by adaptive implicit subdivision on a template mesh. 3D Gaussians are defined in face-local coordinates to remain animatable under varying expressions and head motion across multiple detail levels. The hierarchy expands when screen-space signals indicate a lack of detail, allocating resources to important areas. Leveraging importance ranking, Progressive-Avatars supports incremental loading and rendering, adding new Gaussians as they arrive while preserving previous content, thus achieving smooth quality improvements across varying bandwidths. ProgressiveAvatars enables progressive delivery and progressive rendering under fluctuating network bandwidth and varying compute and memory resources.